Amazon’s machine learning services: An overview of technologies and use cases

This will be presented in English.

Hassan Sawaf discusses Amazon’s efforts to enable the enterprise with machine learning capability, in particular with newly released AWS services like Amazon Transcribe, Amazon Translate, Amazon Comprehend, Amazon Polly, Amazon Lex, Amazon SageMaker, and explains how some of these correlate with other Amazon products and services.

Hassan Sawaf

Amazon Web Services

Hassan Sawaf is director of applied science and artificial intelligence at AWS, where he is responsible for driving the science and technology behind products like Amazon Lex, Amazon Comprehend, Amazon Translate, Amazon Transcribe, and other machine learning services. He has worked in the automatic speech recognition, computer vision, natural language understanding, and machine translation fields for 20+ years. Previously, he cofounded AIXPLAIN AG, a company focusing on speech recognition and machine translation (acquired by AppTek); served as chief operations officer at AppTek (acquired by SAIC); worked as chief scientist for human language technology at SAIC, where he worked on multilingual spoken dialogue systems; and established eBay’s machine translation and cognitive computing team and later led the company’s artificial intelligence team behind various language technology and computer vision innovations.